47 results about "Balance energy" patented technology

The invention is suitable for the field of intelligent illumination control and energy-saving management, and provides an illumination state monitoring management method and system for energy-saving operation of a subway station, and the method comprises the steps: continuously collecting the electrical characteristics, optical performance parameters, equipment basic attributes and historical operation records of illumination nodes, and carrying out the fusion to form analysis basic data; identifying potential fault risk nodes based on the data; simulating a fault influence by using a digital twin model and comparing the fault influence with a safety standard; and starting preventive optical compensation or compensation-combined graded early warning according to a comparison result. The system correspondingly comprises a parameter acquisition module, a risk analysis module, an influence analysis module and an optical compensation and early warning module. According to the invention, fault advanced pre-judgment, accurate compensation and efficient operation and maintenance are realized, the energy-saving and safe operation requirements are balanced, and the intelligent management level of the illumination system is improved.

The invention relates to the technical field of holographic electric quantity sensing and local hot spot regulation and control, in particular to an intelligent control system and method for energy-saving turn-off of an air conditioner based on holographic electric quantity sensing. The position marking unit associates the equipment position with an air conditioner airflow path, records a hot spot area wind speed reference value and an attenuation coefficient and marks a hot spot influence range, and the control unit calculates the minimum wind speed of a hot spot for maintaining a standard temperature through a heat diffusion model, predicts a global heat load in combination with the total electric quantity, coordinates frequency reduction of a compressor and generates a wind speed instruction. The fan control unit adjusts the wind speed in a partitioned mode, self-adaptive compensation is started in combination with actually-measured temperature rise, bidirectional closed-loop control over the fan and the compressor is achieved, and the energy-saving and temperature-control requirements are balanced.

This application relates to a control method, apparatus, and television device. The method includes: obtaining the current electricity price period based on peak-valley tiered electricity price data for the user's region, and obtaining the user's household electricity consumption data; determining whether preset energy-saving conditions are met based on the current electricity price period and household electricity consumption data; when the preset energy-saving conditions are met, generating an adjustment strategy based on the preset energy-saving conditions and the television device's equipment parameter data; and controlling the television device to execute the adjustment strategy, so that the television device can reduce power consumption while maintaining continuous playback of media content. Using this application, intelligent energy-saving control linked to peak-valley tiered electricity pricing can be achieved, balancing energy saving of the television device with the viewing experience.

The invention discloses a lightweight model deployment method of an AI edge computing terminal and a low-power-consumption processing device, and relates to the technical field of artificial intelligence and edge computing, and the method comprises the steps: collecting the total energy consumption of the terminal and the power consumption data of a processor, a memory and a communication module in real time; by acquiring the energy consumption data of the terminal and the hardware in real time and establishing dynamic association of energy consumption and model adjustment, accurate matching of lightweight model deployment and an energy consumption state is realized, the problem of disjunction of model deployment and power consumption control is solved, sub-models are dynamically switched or calculation precision is reduced when the energy consumption exceeds a threshold value, and the energy consumption is reduced. When the energy consumption is too high, the complexity of the model is reduced in time, the balance between the energy consumption and the reasoning performance is realized, the problem that the energy consumption continuously rises or the performance is suddenly reduced is avoided, the cooperation of task execution and energy consumption management is realized by adjusting the task execution frequency and priority and combining closed-loop feedback continuous optimization, the reasoning performance is ensured, meanwhile, the consumption is accurately controlled, and the efficiency is improved. And the stability and the practicability in a complex environment are improved.

The invention relates to the field of ship energy control, in particular to an electric ship energy control method based on working condition recognition. The method comprises the following steps: acquiring planned route information, and analyzing historical working conditions of route segments one by one to obtain historical working condition characteristics; real-time working condition parameters in the ship navigation process are collected; positioning and matching a plurality of sub-legs according to the real-time working condition parameters, and constructing a sub-leg working condition feature set; working condition deviation comparison is carried out on the historical working condition features according to the sub-leg working condition feature set, and a deviation state sequence is determined; performing propulsion power gap calculation based on the deviation state sequence to obtain a power gap compensation value; battery capacity information is identified, current endurance state evaluation is carried out, and an endurance evaluation value is obtained; and carrying out endurance constraint correction on the power gap compensation value according to the endurance evaluation value to obtain a power constraint adjustment value. According to the invention, through real-time working condition identification and analysis, energy efficiency optimization, endurance safety and operation reliability are considered under complex navigation working conditions.

The invention provides an energy recovery and conversion method and system for an automobile brake power device, and relates to the technical field of energy recovery and conversion. Vehicle brake state collection is carried out through a sensor network, brake state collection data are obtained, and vehicle brake state analysis and judgment are carried out according to the brake state collection data; performing energy recovery potential analysis according to the vehicle braking state analysis and judgment information to obtain energy recovery potential analysis data, and performing energy recovery state analysis and judgment according to the energy recovery potential analysis data; and performing energy conversion recovery control analysis according to the energy recovery state analysis judgment information to obtain energy conversion recovery control data, and performing control state analysis judgment according to the energy conversion recovery control data to obtain energy conversion recovery control judgment information. Energy recovery efficiency and braking safety are both considered, device loss is reduced, and the service life of equipment is prolonged.

This application relates to the field of 5G communication technology, and provides a 5G terminal power consumption optimization method, computer equipment, and medium. The method includes: acquiring the service traffic characteristics and temperature information of the 5G terminal, identifying the current service scenario type of the terminal, retrieving a matching target strategy to dynamically adjust the discontinuous reception parameters of the communication module, and then comprehensively determining the sleep level based on the adjusted discontinuous reception parameters, service scenario type, and temperature information; performing coordinated sleep control on the communication module and the main control processor; and simultaneously reporting the operating status data and local power management parameters to the cloud platform, receiving and executing updated parameters sent from the cloud to form a closed-loop optimization. Without affecting the real-time performance of control services and the reporting success rate of data acquisition services, this method achieves a significant reduction in the overall power consumption of the 5G terminal, effectively solving the technical problem of balancing energy saving and service performance in existing fixed-parameter solutions.

The invention relates to the technical field of crossing of mechanical engineering and process control, discloses an airflow spray dryer energy efficiency energy-saving and efficiency-improving method and system based on big data, and aims to solve the problems that atomization parameters are rigid, a nozzle is easy to block, control lags and energy efficiency and quality are difficult to consider in the drying process of high-viscosity slurry. The method comprises the following steps: acquiring slurry viscosity and droplet particle size distribution through high-frequency online rheological sensing and high-speed imaging; multi-source time sequence data are fused and input into a lightweight spatial-temporal feature extraction network, and optimization instructions of the fan rotating speed, the nozzle aperture and the hot air temperature are output in a millisecond level; and the piezoelectric fine adjustment mechanism and the frequency conversion fan are driven to execute self-adaptive regulation and control, and preventive maintenance is achieved in combination with micro-vibration anti-blocking and blocking risk prediction. The system integrates a sensing module, a modeling module, an execution module and an optimization module, the heat energy utilization rate is remarkably increased, and the diameter deviation of liquid drops is controlled within a small range.

The invention belongs to the related technical field of Internet of Things communication, and discloses a dual-mode communication node data access method and system based on an unmanned aerial vehicle, and the method comprises the steps: carrying out the topological block division; accessing each block in sequence; for each block, a wake-up frame is broadcasted through a first communication module to determine a to-be-planned node of the block, an internal path optimization model of the block is constructed, and the energy constraint of the unmanned aerial vehicle is that the energy consumption of the unmanned aerial vehicle for completing block access does not exceed the energy consumption upper limit; the working mode constraint is that the unmanned aerial vehicle vertically descends to a hovering point just above the node and performs data collection through the second communication module during hovering at the hovering point; the optimization target comprises the shortest access time in the block; and solving the model to obtain an access strategy in the block. On the basis of the method, energy consumption and transmission rate can be taken into account when a data recovery task is oriented to large-scale nodes, the overall planning difficulty is reduced, the node access dynamic adaptability is improved, and high-efficiency and high-reliability data recovery is realized.

This invention provides a method and system for controlling tent energy storage based on tarpaulin photovoltaic power generation, relating to the field of tent technology. The method includes the following steps: acquiring target data; identifying the dominant weather scenario or a combination of multiple weather scenarios that matches the characteristics of the current outdoor activity environment based on the similarity between the target data and weather scenarios; generating a charging and discharging plan for the battery energy storage unit and an energy allocation priority for connected loads based on the dominant weather scenario or the combination of multiple weather scenarios; continuously monitoring actual data, and correcting the battery charging and discharging rate and energy allocation when the actual data deviates from the preset predicted data of the currently identified weather scenario. The method of this invention aims to proactively address the impact of weather changes on activities, optimize battery charging and discharging and energy allocation, and balance energy self-sufficiency, battery life, and power supply reliability under conditions where both photovoltaic power generation and load demand dynamically change, thereby improving system operating efficiency.

This invention discloses a dormitory energy management system and method based on power line carrier communication technology, belonging to the field of energy management technology. It solves the technical problems of complex communication cabling, inaccurate energy consumption monitoring, rigid control strategies, and inability to adapt to dynamic changes in students' energy consumption behavior in existing dormitory energy management systems. This invention uses power line carrier communication technology, enabling bidirectional data transmission between various electrical devices and management terminals within the dormitory without additional cabling. It introduces an intelligent agent as the core decision-making unit, integrating algorithms (three-way matching) and user behavior analysis algorithms to achieve intelligent management of the entire process, including real-time energy consumption monitoring, abnormal energy consumption identification, dynamic energy-saving control, energy consumption statistical analysis, and personalized energy consumption recommendations. This invention has a simple structure, low deployment cost, and strong adaptability. It can reduce overall dormitory energy consumption while ensuring student comfort, balancing energy-saving benefits and user experience. It is suitable for large-scale application in centralized accommodation scenarios such as university dormitories and corporate employee dormitories.

The invention relates to an electricity-hydrogen cooperation system optimization configuration method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: constructing a cost model based on the total cost of a generator set, the total cost of a regional power grid, the total cost of a hydrogen energy storage system, the hydrogen transportation cost and the carbon emission cost; constructing a deviation settlement model based on the deviation value of the electro-hydrogen balance unit and the balance energy price; taking cost minimization as a target, and constructing a target function based on a cost model and a deviation settlement model; solving the objective function based on the plurality of state operation constraints to obtain a configuration result of the electricity-hydrogen cooperative system; the multiple state operation constraints comprise electric energy balance constraint, climbing constraint, operation power constraint, charge state constraint, electrolytic bath operation constraint, power transmission line transmission power constraint, hydrogen energy balance constraint, hydrogen storage tank constraint and electric hydrogen balance unit constraint. By adopting the method, the electricity-hydrogen cooperative system can be reasonably configured.

The application discloses a method and equipment for generating a regulation strategy of synergic distributed photovoltaic and energy storage, and relates to the technical field of energy regulation. The method comprises the following steps: collecting data of a distributed photovoltaic array and an energy storage unit in a preset monitoring window according to a preset photovoltaic monitoring index and a preset energy storage unit monitoring index, and performing data screening to construct a distributed photovoltaic state vector array and an energy storage unit state vector; constructing a state level tree; performing multi-target division according to the state level tree to determine a hierarchical control target set and a state level sub-tree set; and performing regulation strategy joint optimization in combination with the hierarchical control target set and the state level sub-tree set to obtain a target regulation strategy. The technical problems of low generation precision, insufficient synergy, and inability to balance energy balance and response efficiency of the regulation strategy of the distributed photovoltaic and energy storage system in the prior art are solved, and the technical effects of improving the synergic regulation precision of the photovoltaic and energy storage system and optimizing the energy distribution efficiency are achieved.

The invention discloses an intelligent electromagnetic balance energy-saving system, and relates to the technical field of intelligent power grids. According to the system, power grid operation data are collected and preprocessed into per unit values, equivalent reactance and the total reactive power vacancy of the system are calculated according to the per unit values, then the rated capacity of a reactive compensation device is combined, the reactive power vacancy of an inverter is calculated, inverter operation data and current collection line parameters are obtained, and first reactive power and second reactive power are obtained through preset operation; and finally, the bus voltage and the system power factor of the transformer after control are collected again, and an adjusting instruction is judged and generated according to the bus voltage and the system power factor. Reactive power compensation of the inverter is realized, output of the inverter is controlled to be optimal, influence of electromagnetism on a power grid is reduced, stability of voltage and power factors of the power grid is ensured, a control strategy can be automatically adjusted according to closed-loop design, and stability of the power grid and operation efficiency of the inverter are improved.

This invention relates to the field of power device protection technology, and discloses a method and system for transient voltage suppression of silicon carbide power devices. The method includes: acquiring four-dimensional degradation indices of silicon carbide MOSFETs in each surge absorption channel and performing temperature normalization; training a support vector regression model based on a degradation history database to generate a comprehensive health score and remaining lifetime prediction value for each channel; calculating the degradation-corrected efficiency parameters of each channel based on measured degradation index values ​​to generate a full-channel energy state snapshot matrix; solving a multi-channel surge energy allocation scheme using linear programming with a lifetime balancing penalty term based on the energy state snapshot matrix and health state vector; calculating the PWM control parameters for each channel and executing surge energy absorption and feedback. This invention achieves accurate monitoring of multi-channel degradation states and lifetime-balanced energy allocation.

A decoupled system for controlling a solid state transformer (SST), the SST comprising an AC-to-DC stage, a DC-to-AC stage, and a DC-to-DC stage, the DC-to-DC stage comprising one or more DC-to-DC converters. The system comprises a stored energy controller coupled to the AC-to-DC stage, the energy controller configured to control the total amount of stored energy within the capacitors of the SST; a power flow controller coupled to the DC-to-AC stage, the power flow controller configured to control power flow in the SST; and one or more energy balancing controllers each coupled to a corresponding DC-to-DC converter, each energy balancing controller configured to balance energy in the corresponding DC-to-DC converter.

The invention discloses a sun trajectory following type photovoltaic module angle self-adaptive power generation system which comprises a central control module, a remote communication module, a sun trajectory detection module, an energy consumption monitoring module, an angle adjustment execution module and a cloud monitoring platform module. The solar tracking type photovoltaic module angle self-adaptive power generation system is designed, the comprehensive energy efficiency ratio is remarkably improved by 25% through multi-sensor cooperative detection and a system-level energy consumption optimization mechanism, the annual energy output can be increased by 18%-22% under the same illumination condition, the equipment energy consumption can be monitored in real time, and the energy efficiency is improved. The angle adjustment strategy is dynamically adjusted to balance energy consumption and power generation gain, efficient operation under various meteorological conditions is ensured, the system supports a single system to control over 1000 photovoltaic assemblies, large-scale synchronous coordinated angle adjustment is achieved, errors are small, mutual shielding between the assemblies is effectively avoided, and the system is suitable for large-scale application. The system is suitable for various scenes such as a large ground power station, a roof distributed cluster and a photovoltaic agricultural greenhouse, and the system integration difficulty is greatly reduced.

The invention discloses an embedded multi-mode power supply management system based on an intelligent switching strategy, and relates to the technical field of embedded equipment, and the system comprises a power supply input sampling module which is used for receiving a DC power supply from a battery end and carrying out the continuous sampling of an input voltage and an input current, so as to represent a current power supply state and a load working condition; the power supply conversion output module is used for selecting a target path in a DCDC power supply conversion path and an LDO power supply conversion path to execute voltage conversion under the constraint of sampling data output by the power supply input sampling module and a control instruction given by the intelligent control switching module, S1, a power supply input sampling step; the power input sampling module synchronously samples the voltage and the current of the battery input end in a preset sampling period, and the embedded equipment management circuit can adaptively select DCDC and LDO working modes in a full-load range and perform time sequence fine management on the switching process, so that the energy efficiency, the noise and the switching stability are considered.

The invention relates to a multi-hop routing method and device for balancing energy consumption of a power grid wireless sensor network, and belongs to the technical field of power communication networks, the method comprises the following steps: establishing a network topology model between sensor nodes and sink nodes based on the power grid wireless sensor network, the sensor nodes being randomly deployed in a rectangular area, and the sink nodes being randomly deployed in the rectangular area; the sink node is located in the center of the rectangular area; designing an opportunistic routing strategy based on an opportunistic routing protocol, and determining a forwarding area according to network topology positions and energy of all sensor nodes and overhead of each link; establishing an energy consumption balance routing model based on an opportunistic routing strategy; a routing problem of the energy consumption balance routing model is converted into a particle swarm optimization problem, and a binary particle swarm optimization algorithm is adopted to solve an optimal solution. Through multi-hop data transmission, the energy consumption of the power grid wireless sensor network is optimized, the energy consumption balance is realized, the service life of network nodes is prolonged, and the stability and the overall energy efficiency of the network are improved.

The application discloses a kind of robust beamforming methods for reconfigurable multifunctional intelligent metasurface, improve the performance of wireless network by intelligently reconfiguring wireless environment.For the problem of double fading attenuation and strong dependence on power grid / battery existing in existing passive intelligent metasurface, an MF-RIS architecture integrating signal reflection, amplification and energy collection is proposed, energy self-sustainability is realized, and the asymptotic capacity of the communication network assisted by MF-RIS architecture is analyzed.Then, with the goal of realizing a self-sustaining communication system, a resource allocation problem under imperfect channel state information is constructed.By using S-process and generalized symbolic deterministic approximation semi-infinite constraint, a high-robustness beamforming scheme is proposed, which overcomes the inevitable channel estimation error and solves the double fading problem.Compared with existing self-sustaining RIS, MF-RIS can better balance the relationship between energy collection and throughput improvement.

The application discloses a kind of energy storage system day-to-day operation optimization methods based on energy supply and demand relationship scene, wherein the method includes: complex network of power distribution system based on source and load node energy supply and demand similar characteristics is constructed;Similar source and load nodes in different time and space scenes are clustered based on Louvain algorithm maximum modularity, to form optimal community;Further form the day-ahead operation optimization model of composite energy storage;Balance the composite energy storage of battery energy storage and pumped storage, to form the day-ahead operation optimization model of composite energy storage.This application fully considers the day-ahead operation of composite energy storage in dynamic energy supply and demand topology mapping relationship scene, can solve the peak shaving problem through the full adjustment of pumped storage in the day-ahead stage, improve economy;Combined with battery energy storage, pumped storage can realize fast response in the day, more effectively balance energy supply on both sides of supply and demand, tap the potential of composite energy storage.

This application discloses a method, apparatus, equipment, storage medium, and product for balancing energy consumption in a pumping unit well group, relating to the fields of industrial automation and energy efficiency optimization technology. The method includes: acquiring pumping unit electrical parameter data based on IoT devices and an oilfield database; calculating the power parameters and system efficiency data of each pumping unit based on the electrical parameter data; and accurately reflecting the operating status and power consumption of each pumping unit through real-time electrical parameter data acquired from IoT devices and the oilfield database. By inputting the power parameters and system efficiency data of each pumping unit into a pre-constructed pumping unit well system model, the corresponding target motor frequency is obtained. The pumping unit power is adjusted in real-time according to the target motor frequency, enabling dynamic calculation and optimization of the motor frequency, thereby achieving energy balance in the well group. By adjusting the motor frequency in real-time, it is ensured that the pumping units always operate at their optimal operating points, improving the control stability of the well group.

The present application provides a power converter and a power supply system. By changing boost converter circuits to a parallel connection relationship, when direct current sources operate normally, the energy difference between positive and negative buses can be greatly reduced and even the voltages of the positive and negative buses can be balanced, so that a balancing circuit does not need to operate, the power of the balancing circuit can be greatly reduced, and the balancing energy required by the balancing circuit is greatly reduced or even eliminated, thereby enabling lightweight design of the balancing circuit, reducing the number of power semiconductor devices used, effectively lowering costs, and solving the problem of difficulty in circuit layout.

To provide a charge balancing energy storage system.SOLUTION: An energy storage system (EMS) 210 for mobile and stationary applications includes multiple battery packs connected in parallel via bidirectional DC-DC converters and managed by centralized or de-centralized control. Each pack comprises one or more electrochemical storage elements, and the EMS regulates current flow based on system data indicating state of charge (SOC), state of health (SOH), temperature and chemistry, performs active balancing by adjusting current commands to equalize SOC between packs, and isolates faulty or degraded modules if necessary. The architecture supports heterogeneous battery types, modular scalability, and fault-tolerant operation, enabling safe and efficient control of energy storage resources in a variety of electrified transportation and stationary power environments.SELECTED DRAWING: Figure 1

The invention discloses an analysis system and method based on net rack topology data, relates to the field of edge data transmission, and solves the problem that an existing power system is insufficient in stability. The data processing module is used for processing nodes in the power network, acquiring circulating energy of each node in combination with power system information, judging node loads and obtaining node weights in combination with a connection relation of the nodes; the data analysis module is used for analyzing the nodes, associating node weights with node loads, judging the node loads through the node weights and balancing the node loads; the data optimization module is used for optimizing node distribution and node connection and adjusting node energy circulation in combination with power system information; according to the method, energy circulation of the power nodes is equalized, so that energy balance of power circulation is enhanced, and the stability of a power system is improved.

The application provides a server cluster energy efficiency balanced load migration method and system, and relates to the technical field of distributed computing. The application obtains power consumption data of distributed cache nodes in a server cluster, identifies high-power consumption and low-power consumption nodes; simultaneously obtains access frequency data of cache data fragments, performs cross-node unified sorting to generate a global access heat result; based on the heat sorting and the power consumption data, determines the fragment with the highest access heat in the high-power consumption node as a to-be-migrated fragment, selects a low-power consumption node with sufficient resources as a target node, forms a migration decision; updates cluster metadata mapping relationships, establishes a data transmission channel, and asynchronously replicates data blocks in batches and performs verification; after completion, switches client routing and points requests to the target node. The application can realize energy efficiency balance of the server cluster, effectively reduce overall power consumption, and improve resource utilization.

This invention proposes a photovoltaic virtual synchronous generator frequency and voltage regulation method and system based on adaptive control, belonging to the field of photovoltaic power plant grid-connected power generation technology. It aims to achieve coordinated control between maximum power point tracking (MPPT) and grid-connected frequency and voltage regulation in the photovoltaic system. By integrating MPPT control and VSG control into a unified control framework and introducing an adaptive adjustment mechanism based on multi-source information such as solar illumination, grid status, and load disturbances, key control parameters such as virtual inertia and damping coefficient are dynamically adjusted. This balances energy utilization efficiency and system stability, improving the system's dynamic response capability and grid-friendliness under complex operating environments.

The invention provides a power dynamic cooperative adjustment method and system for a wind and light field station, and relates to the technical field of power grids, and the method comprises the steps: obtaining the generated power measurement values of a wind power field station and a photovoltaic field station, the charge state of an energy storage system, and a scheduling reference curve, constructing a multi-scene branch through combining with meteorological information, and carrying out the rolling prediction; the multi-period coupling optimization problem is solved by taking minimization of a wind and light output tracking error and balance of an energy storage charge state as targets, an energy storage charge and discharge power value is obtained, power adjustment instruction values of a wind power station, a photovoltaic station and an energy storage system are further calculated, collaborative optimization control of the wind and light energy storage system is realized, and the stability of a power grid is improved.

The invention discloses a collaborative distributed photovoltaic and energy storage regulation and control strategy generation method and device, and relates to the technical field of energy regulation and control. The method comprises the steps of performing data acquisition on a distributed photovoltaic array and an energy storage unit in a preset monitoring window according to a preset photovoltaic monitoring index and a preset energy storage unit monitoring index, and performing data screening to construct a distributed photovoltaic state vector array and an energy storage unit state vector; constructing a state hierarchy tree; performing multi-target division according to the state hierarchy tree, and determining a hierarchical control target set and a state hierarchy sub-tree set; and performing regulation and control strategy joint optimization by combining the hierarchical control target set and the state hierarchical sub-tree set to obtain a target regulation and control strategy. The technical problems that in the prior art, a distributed photovoltaic and energy storage system is low in regulation and control strategy generation precision and insufficient in collaboration, and energy balance and response efficiency cannot be considered at the same time are solved, and the technical effects of improving the collaborative regulation and control precision of the photovoltaic and energy storage system and optimizing the energy distribution efficiency are achieved.

This invention discloses a battery pack charge / discharge balancing method and apparatus. The battery pack charge / discharge balancing method includes: acquiring the charge / discharge state of the battery pack and the charge / discharge state of the balancing energy storage module; if the balancing energy storage module is in a charging state, balancing the cells with the highest state of charge within the battery pack according to the charge / discharge state of the battery pack, thereby balancing the state of charge of each cell within the battery pack; if the balancing energy storage module is in a discharging state, balancing the state of charge of each cell within the battery pack according to the charge / discharge state of the battery pack. This approach helps to slow down the decline in the health of the cells and improve the service life of the battery pack.